BrowseGPT — agentic threat model
BrowseGPT presents a high-risk profile due to its ability to perform high-impact real-world actions like purchasing, booking, and posting on the open web without apparent safety guardrails, sandboxing, or authentication controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — likely relies on a third-party commercial foundation model via API, making it vulnerable to standard prompt injection and adversarial manipulation from the web pages it browses.
Not certain from the listing — likely does not maintain a persistent vector database due to its lightweight 'no signup' nature, but dynamically processes untrusted web page content, exposing it to indirect prompt injection and data exfiltration risks.
The agent framework orchestrates web browsing, form filling, and transactional execution (buying, booking). This creates a critical risk of tool hijacking where malicious web elements can force the agent to execute unauthorized purchases or posts.
Not certain from the listing — likely deployed as a browser extension or a lightweight cloud service. If running as a browser extension, it poses severe risks of accessing active session cookies, local storage, and sensitive user credentials.
Not certain from the listing — the description 'works sometimes' strongly suggests a lack of robust evaluation, real-time monitoring, or guardrails to detect and prevent anomalous or harmful agent behaviors.
The agent lacks basic security controls, requiring 'no signup' and offering no visible compliance, audit logging, or authorization policies to govern high-risk actions like financial transactions.
Not certain from the listing — there is no indication of multi-agent orchestration or integration with an agent marketplace, though it interacts directly with the broader web ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).